Publication: Building a Dataset for Non-Tariff Measures and its Usage: The Case of Indonesia and Applicability for Other Countries
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26 downloads
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Date
2023
ISSN
Published
2023
Author(s)
Montfaucon, Angella Faith
Cali, Massimiliano
Agnimaruto, Bayu
Silberring, Jana Mirjam
Hasmand, Agnesia Adhissa
Lakatos, Csilla
Pasha, Mochamad
Abstract
As import tariffs have been declining
over the past decades, non-tariff measures (NTMs) have
become the most frequently used measures in trade policy.
The increasing use of NTMs in global trade has highlighted
the need for timely, high frequency and accurate data in
order to better understand the implications that NTMs have
on products, firms and the economy. This manual describes
the first high-frequency panel dataset built by the World
Bank on the universe of NTMs applied by a country, i.e.
Indonesia. The manual includes a comprehensive overview of
the purpose, building procedures and usage of the data for
Indonesia. The dataset expands on and improves on existing
data on Indonesian NTMs collected by other institutions
(UNCTAD and ERIA) by covering a broader source base,
customizing the data, and by increasing the frequency of
updates. By documenting the data collection and
transformation process, the manual hopes to facilitate the
construction of similar datasets in other countries.
Citation
“Montfaucon, Angella Faith; Cali, Massimiliano; Agnimaruto, Bayu; Silberring, Jana Mirjam; Hasmand, Agnesia Adhissa; Lakatos, Csilla; Pasha, Mochamad. 2023. Building a Dataset for Non-Tariff Measures and its Usage: The Case of Indonesia and Applicability for Other Countries. © World Bank, Washington, DC. http://hdl.handle.net/10986/39463 License: CC BY 3.0 IGO.”